Open Source AI Models Are Good Enough Now. Stop Overpaying

There was a time when open-source models were a compromise. You used them because they were cheap, and you accepted that they weren’t as good. That time is over.

The open-source models available through OpenCode Go are genuinely capable. DeepSeek, Qwen, Grok, GLM, Kimi. They handle agentic coding, automation, and real work. I use them every day.

And here’s the thing. They’re good enough that I don’t feel like I’m missing anything by not paying for the top-tier proprietary models. For my workflow, the difference isn’t worth $190 a month.

If you haven’t tried open-source models recently, you might be surprised. The gap has closed a lot.

Try OpenCode Go for $5 your first month and see for yourself.

FAQ

Are open-source AI models good enough for coding?

Yes. Models like DeepSeek, Qwen, Grok, and GLM handle agentic coding well and are available through OpenCode Go.

What open-source models does OpenCode Go offer?

It includes DeepSeek V4, Qwen, Grok, GLM, Kimi, and others, tested for agentic coding.

Is open-source cheaper than proprietary?

Yes. OpenCode Go gives access to capable open-source models for a flat $10 a month.

Are open-source models really good enough?

Yes. Models like DeepSeek, Qwen, Grok, and GLM handle agentic coding well.

What open-source models does OpenCode Go offer?

DeepSeek V4, Qwen, Grok, GLM, Kimi, and others, tested for agentic coding.

Is open-source cheaper than proprietary?

Yes. OpenCode Go gives access to capable open-source models for a flat $10 a month.

Will I notice a quality difference?

For most workflows, no. The gap has closed a lot.

Should I try open-source models?

Yes. You might be surprised at how capable they’ve become.